Naslov
MODIFICIRANI LESLIE‐LEFKOVITCH GENETIČKI ALGORITAMSKI MODELSKI SUSTAV DINAMIKE POPULACIJA KOMARACA
(MODIFIED LESLIE‐LEFKOVITCH‐GENETIC ALGORITHM HYBRID MODELS SYSTEM OF MOSQUITO POPULATION DYNAMIC)

Autori
Lončarić, Željka ; Jambrović, Martina ; Hackenberger Kutuzović, Branimir

Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, znanstveni

Izvornik
Zbornik sažetaka (Hrvatski biološki kongres s međunarodnim sudjelovanjem) / Klobučar, Göran ; Kopjar, Nevenka ; Gligora Udovič, Marija ; Lukša, Žaklin ; Jelić, Dušan - , 2015, 147-148

Skup
12. HRVATSKI BIOLOŠKI KONGRES

Mjesto i datum
Sveti Martin na Muri, Hrvatska, 18.09.2015. - 23.09.2015

Vrsta sudjelovanja
Poster

Vrsta recenzije
Nije recenziran

Ključne riječi
komarci; genetički algoritam; MLL; predikcija
(mosquitoes; genetic algorithm; MLL; predictions)

Sažetak
Fluctuations in size and changes in age structure of mosquito populations during the year are important parameters necessary for planning and implementation of mosquito control measures. Additionally, mosquito population dynamic is an exceptionally interesting academic question due to its periodic chaos system and susceptibility to Allee‐effect. It is those characteristics that make mosquito population dynamic difficult to predict using the usual methods. Until now, discrete Leslie‐Lefkovitch matrix models (MLL) showed the best results in mosquito population dynamic modelling. To improve result prediction properties of larvicides and adulticides, and to contribute to the development of computer support to the deciding system, program modules based on genetic algorithms were added to the existing models. This hybrid system was used to make a series of predictions whic h were compared to the predictions made by simple MLL‐system. Hybrid system, aside from improving prediction of treatment results, showed new applicable model properties which significantly contribute to computer management of mosquito control.

Izvorni jezik
Engleski

Znanstvena područja
Biologija

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